130 applicants

Company

Duetto · 2 days ago

Lead ML Ops Engineer

Austin, TX

Full-time

Remote

Senior Level

5+ years exp

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Responsibilities

Define and execute the MLOps roadmap for large-scale model training and deployment across thousands of hotels.

Drive strategic initiatives for ML systems , training and deployment infrastructure.

Build and maintain MLOps pipelines using Databricks for data and feature engineering, leveraging the Sagemaker for model deployment and serving.

Orchestrate ML training pipelines, batch and online inference processes, and endpoint deployments for thousands of models.

Develop automated testing frameworks and ensure CI/CD for ML models.

Manage infrastructure to optimize performance and cost.

Configure monitoring systems to track model performance and data drift.

Apply strategies for model retraining, versioning, and rollback

Collaborate with data scientists, engineers, and DevOps teams to integrate models.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

MLOpsAWSDatabricksDockerKubernetesPythonCI/CDTerraformMLflowFeature storesPrometheusGrafana

Required

5+ years of experience as an MLOps Engineer or in a similar role, with a strong background in [Dev]Ops and ML engineering.

Experience operating within policies and processes that make up a multi-layered enterprise security posture. Relevant SOC2 experience a plus.

Bachelor's Degree in Computer Science, or related fields.

Strong experience with AWS (SageMaker, Lambda, EMR, ECR) for ML model deployment and serving.

Experience working with the Databricks platform, particularly in managing and optimizing data workflows and model operations, and using MLflow for model tracking, versioning and deployment.

Conversant in container technology. Experience with containers and container orchestration tools such as ECS/EKS a plus.

Advanced Python skills, with knowledge of ML / DL frameworks like TensorFlow and PyTorch.

Experience managing infrastructure and contributing as part of a multi-user infrastructure team, using Terraform and associated toolsets. Relevant SOC2 experience is also a plus.

Proficient in CI/CD tools (e.g. Github Actions) for automated pipelines or deployments.

Experience with feature stores (e.g.,Databricks, Feast or AWS SageMaker Feature Store) and their role in ML workflows.

Experience provisioning, configuring, administering, and using enterprise monitoring ecosystems like Prometheus, Grafana, or similar.

Strong communication skills and collaborative experience with data teams.

Adaptable in fast-paced, ambiguous environments, balancing speed, rigor, and attention to detail.

Company

Duetto

Duetto specializes in cloud applications, SAAS, revenue management systems, and hotel leadership software.

Founded in 2012

San Francisco, California, USA

51-200 employees

https://www.duettocloud.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (4)

2022 (4)

2021 (5)

2020 (2)